Gitnux/Report 2026

Agentic AI Industry Statistics

By 2026, enterprises are forecast to spend up to $118 billion on generative AI while chatbots and voice assistants become the new interface for customer interactions, forcing agent teams to justify both ROI and safety in the same sprint. This page connects that adoption surge to hard market figures across GenAI, enterprise AI software, and agent adjacent conversational platforms plus the benchmarks and governance signals you need to separate tool using capability from real world reliability.
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November 10, 2026Updated
Agentic AI Industry Statistics
Helena KowalczykWritten by Helena Kowalczyk·Edited by Daniel Varga·Fact-checked by Rebecca Hargrove
Published ·Updated
How this report is researched
01Editorial Scope

An editor sets the topic, the inclusion criteria, and the evaluation framework before research starts.

02Source Research

AI search agents locate sources and extract each figure together with the document it came from.

Read our full methodology →

Search agents attach provenance to every extracted figure.

Next review: within 39 days

01 Industry overview

The agentic ai industry at a glance

The agentic AI market reached $16.2 billion in 2025 and is entering rapid enterprise deployment, although adoption remains constrained by limited autonomy, process readiness, security, and regulatory requirements.

$16.2B[68]
Global market size, 2025
38.6%[68]
Forecast CAGR, 2026–2033
34.6%[68]
North America share, 2025
71%[2]
Enterprise agents in production, 2026
Market size
The global agentic AI market was valued at $16.2 billion in 2025 and is estimated at $22.9 billion in 2026. Grand View Research defines the market forecast in terms of agentic AI revenue and covers the 2026–2033 period.[68]
Forecast & CAGR
The market is projected to reach $224.5 billion by 2033, implying a 38.6% compound annual growth rate from 2026 to 2033. The forecast reflects expansion from experimentation toward production deployment across enterprise functions.[68]
Market share & regions
North America held the largest regional share at 34.6% of 2025 revenue, while the United States held the largest country share. Asia-Pacific is identified as the fastest-growing regional market for 2026–2033.[68]
Segmentation
Solutions accounted for 60.7% of the market in 2025, making them the largest component segment. Customer service was the largest application segment at 32.1%, while healthcare and life sciences are forecast to grow at a 44.5% CAGR from 2026 to 2033.[68]
Trends, drivers & challenges
Enterprise deployment is advancing, but operational readiness remains uneven: only 5% of organizations surveyed by Deloitte said their business processes were highly prepared for AI agents, and just 15% had scaled orchestrated, cross-functional multi-agent adoption in 2026. Deloitte also found that 43% of leaders expected significant workforce disruption within 12 to 18 months.[64]
Consumer behavior & competition
In Zapier’s 2026 survey, 88% of enterprise leaders said their organizations were using or testing AI agents, up from 72% in 2025. However, only 30% of leaders at organizations using agents said the technology completed more than 60% of assigned tasks without human intervention, indicating that human oversight remains a competitive differentiator.[2]
Regulation
The European Commission’s AI Act Service Desk states that AI agents are not a separate legal category, but are covered by rules applying to AI systems and general-purpose AI models. From August 2, 2026, transparency rules apply when an agent interacts with people or generates content; high-risk systems face additional requirements from August 2, 2027, or December 2, 2027, depending on the applicable provision.[69]
Latest news
Zapier’s 2026 enterprise survey reported that AI-agent production use rose from 40% in 2025 to 71% in 2026, while testing fell from 32% to 17%. The survey also found that 90% of leaders expected their enterprises to increase AI-agent investment over the following year, although privacy, security, compliance, accuracy, and reliability remained the leading concerns.[2]

02 Ranking

Top 10 Companies in the Agentic Ai Industry

The leading companies in the agentic ai industry, ranked on market impact, performance, momentum, innovation and brand popularity.

Updated November 10, 2026 · Next review December 10, 2026

Verdict

OpenAI leads Gitnux's 2026 agentic ai ranking with an Overall score of 9.4, with Agents SDK tooling for agents that use models, tools, and managed orchestration. Alphabet is the highest-ranked cloud and platform provider at 9.2, backed by Google Cloud monetization across infrastructure, platforms, and services.

Ranked by Overall score · How we score ↓

Editor's top 3 picks

Where to start, by need.

  1. #1 Overall · Leader in agent SDK tooling

    OpenAI

    US

    Ranked #1 · 9.4 · Agent SDK tooling

    Why we picked it: They provide agent building tooling, aligning with enterprise integration needs for orchestration and tool use.

    See in ranking ↓Visit openai.com ↗

  2. Leader in cloud agent platforms

    Alphabet

    US

    Ranked #2 · 9.2 · Cloud agent platforms

    Why we picked it: They monetize AI-powered products across platforms that support agentic AI deployment through Cloud.

    See in ranking ↓Visit abc.xyz ↗

  3. Leader in enterprise agent services

    Microsoft

    US

    Ranked #3 · 9.1 · Enterprise agent services

    Why we picked it: They sell agent-focused offerings for building and operating enterprise agents via Azure services.

    See in ranking ↓Visit microsoft.com ↗

Pick 1 is the #1 company overall. Picks 2 and 3 are the highest-ranked companies in the top 5 that add a new segment.

Full ranking

Sort by
Top 10 companies in the agentic ai industry, 2026 – Gitnux ranking
#CompanyOverall ↓Company snapshot
1

OpenAI

Agent SDK tooling · US

9.4
2

Alphabet

Cloud agent platforms · US

9.2
3

Microsoft

Enterprise agent services · US

9.1
4

Palantir Technologies

Operational agent deployment · US

8.9
5

Anthropic

Tool-using coding agents · US

8.9
6

Meta

Consumer AI assistants and agent-capable models · US

8.6
7

Oracle

Cloud, Fusion and AI Agent Studio · US

8.5
8

Salesforce

CRM, workflow and Agentforce agents · US

8.4
9

SAP

Enterprise applications and Joule agents · DE

7.6
10

IBM

watsonx Orchestrate enterprise agents · US

7.3

How we score

  • Impact (30%): scale and weight in the market (revenue, market share, employees, market position).
  • Performance (20%): recent revenue growth and operating margin; an analyst assessment where a company does not publish them.
  • Momentum (20%): growth trajectory and future potential.
  • Innovation (15%): R&D intensity and how technologically advanced the company is.

Popularity (brand search demand, 15%) counts toward Overall but is not published as a column. Overall leaves out what is not known.

Scale Scores are shown on a 7–10 scale with one decimal; bars start at 7.0.

Cadence Recalculated when new figures are published; next review December 10, 2026.

Independence. Rankings are editorially independent. Scores, ranks, picks and the verdict follow the method above; no company can pay to change them.

Cite this ranking

APA

Helena Kowalczyk. (2026, February 13). Top 10 companies in the agentic ai industry. In Agentic AI Industry Statistics. Gitnux. https://gitnux.org/agentic-ai-industry-statistics/#top-companies

report visual · Comparison

Percentage of organizations by agentic AI maturity stage

Exploring applications holds the largest share at 60%.

Exploring applications60%
Pilots/POCs23%
Limited deployment9%
Not currently used/interested4%
Scaled use cases across most functions/locations3%
source-verifiedcapgemini.com

04 Statistics

Technology & Innovation

Technology surveys show identification gaps and limited production outcomes: 68% of organizations in 2025 could not distinguish AI-agent activity from human activity.

AI in the agentic ai industry

  • 68% of organizations surveyed in 2025 could not accurately distinguish AI-agent activity from human activity.[1]
  • 84% of enterprise leaders said in 2025 that increasing AI-agent investment over the following 12 months was likely or certain.[2]
  • 73% of organizations surveyed in 2025 expected AI agents to become vital within the following year.[1]
  • 88% of enterprise leaders said their organizations were using or testing AI agents in 2026.[2]
  • 75% of IT application leaders surveyed in North America, Europe and Asia-Pacific were piloting, deploying or had deployed some form of AI agent in 2025.[3]
  • 15% of IT application leaders surveyed globally were considering, piloting or deploying fully autonomous AI agents in 2025.[3]

Automation in the agentic ai industry

  • 50% of organizations surveyed in 2025 used security or monitoring agents in enterprise workflows.[1]
  • 71% of organizations reported using AI agents in a 2025 survey, although only 11% of intended use cases reached production the previous year.[4]
  • 50% of organizations surveyed in 2025 used developer-assistance agents in enterprise workflows.[1]
  • 52% of organizations surveyed in 2025 used research agents in enterprise workflows.[1]
  • 67% of organizations surveyed in 2025 used task-automation agents in enterprise workflows.[1]
  • 79% of organizations using agentic AI planned to increase automation spending after achieving results from the technology in 2025.[4]

Digital Transformation in the software and IT services sector (sector benchmark)

  • 45% of North American technology and business decision-makers planned to adopt AI and machine learning to improve business within 12 to 24 months.[5]
  • 72% of digital leaders globally expected to increase technology spending in 2024, compared with 50% of digital laggards, according to a survey of 855 technology and business decision-makers.[5]
  • 75% of digital leaders globally planned to increase AI-related business expenditure in 2024.[5]
  • 34% of surveyed organizations globally identified replacing or upgrading legacy technology as a top digital-transformation goal in 2024.[5]
  • 54.8% of surveyed organizations reported having a chief digital officer or another executive responsible for digital transformation.[6]

Technology Adoption in the software and IT services sector (sector benchmark)

  • 67.6% of IT services were delivered through cloud infrastructure among surveyed organizations in 2024.[6]
  • 57.7% of surveyed organizations reported having a chief information security officer or equivalent in 2024.[6]
  • 51.8% of surveyed organizations reported that AI solutions were somewhat or extremely rare in 2024.[6]
  • More than 50% of surveyed global IT decision-makers were exploring AI use cases or piloting AI technologies in 2024.[5]

Cloud Computing in the software and IT services sector (sector benchmark)

  • 71.7% of EU enterprises using paid cloud services used them for office software in 2025.[7]
  • 52.7% of EU enterprises with at least 10 employees used paid cloud-computing services in 2025.[7]
  • 71.5% of EU enterprises using paid cloud services used them for file storage in 2025.[7]
  • 26.1% of EU enterprises using paid cloud services used computing platforms for application development, testing or deployment in 2025.[7]
  • 65.5% of EU enterprises using paid cloud services used them for security software applications in 2025.[7]
  • 85.2% of EU enterprises using paid cloud services used them for email in 2025.[7]

Big Data in the software and IT services sector (sector benchmark)

  • 40% was the highest reported enterprise adoption rate for big-data analytics across OECD countries in the latest available data through 2023.[8]
  • 14% of enterprises with at least 10 employees across the OECD used big-data analytics on average, based on 2022 data or the latest available year.[8]
  • Big-data analytics adoption averaged 14% among OECD enterprises with at least 10 employees, compared with 49% for cloud computing in the latest comparable data.[8]

05 Statistics

Data & Analytics

Data foundations drive agent outcomes. In 2026, 36% of IT leaders expect data analysis and reporting to be among the first processes automated by agentic AI.

Business intelligence in the agentic ai industry

  • 36% of IT leaders expect data analysis and reporting to be among the first processes automated by agentic AI, globally, in 2026.[1]
  • 39% of executives report that their organizations have launched more than ten AI agents, globally, in 2025.[9]
  • 93% of global IT leaders are confident that agentic AI can deliver measurable enterprise ROI within two years, according to Alteryx research in 2026.[1]
  • 66% of surveyed Salesforce customers identify customer experience as a top priority over the next two years, according to IBM research in 2025.[10]
  • 57% of surveyed Salesforce customers identify AI adoption as a top priority over the next two years, according to IBM research in 2025.[10]
  • 56% of organizations plan to adopt AI agents for research and reporting, globally, according to Anthropic’s 2026 report.[11]

Data analytics in the agentic ai industry

  • 91% of marketers report improved processing of large data sets as a benefit of generative AI in analytics, according to a 2025 survey.[12]
  • 67% of publicly monitored MCP agent tools are associated with software development, according to a 2026 analysis.[13]
  • 90% of downloads of publicly monitored MCP servers were associated with software-development tools, according to a 2026 analysis.[13]
  • 94% of marketers report improved personalization from generative AI in analytics, according to a 2025 survey.[12]
  • 177,436 agent tools were evaluated in public MCP repositories covering November 2024 through February 2026.[13]
  • 49% of Snowflake’s 2026 AI-adopter survey respondents work in IT or cybersecurity, while 9% work in data operations.[14]

Data Quality in the software and IT services sector (sector benchmark)

  • In 2025, 35% of organizations globally rated their data excellent for consistency and standardization, across surveyed technology and business organizations.[15]
  • In 2025, 34% of organizations globally rated their data excellent for relevance and suitability, across surveyed technology and business organizations.[15]
  • In 2025, 46% of organizations globally rated their data excellent for accuracy and integrity, across surveyed technology and business organizations.[15]
  • In 2024, 95% of enterprise data leaders and practitioners reported a data-quality issue with a direct impact on business outcomes, across companies with at least $1 billion in revenue.[16]
  • In 2025, 43% of organizations globally rated their data excellent for quality and completeness, across surveyed technology and business organizations.[15]
  • In 2025, 46% of organizations globally said they were fully confident in their data quality, across surveyed technology and business organizations.[15]

Data Governance in the software and IT services sector (sector benchmark)

  • In 2024, 18.3% of organizations reported having a data-governance or catalog solution as part of their governance program, according to a global governance study.[17]
  • In 2024, 61% of supply-management organizations reported having a dedicated data-governance function, based on an Institute for Supply Management survey.[18]
  • In 2024, 35% of U.S. technology executives prioritized data governance among their data-management areas for the next 12 months.[19]
  • In 2026, 76% of global data leaders said their company’s AI governance did not completely keep pace with employee use of AI technology.[17]
  • In 2024, 32% of global technology leaders prioritized data governance among their data-management areas for the next 12 months.[19]
  • In 2024, 81.7% of organizations reported having no data-governance or catalog solution as part of their governance program, according to a global governance study.[17]

KPIs in the agentic ai industry

  • Organizations with below-average AI governance show lower agent adoption, customer satisfaction and speed to ROI than organizations with stronger governance, according to Salesforce’s 2026 study.[20]
  • 31% of organizations that deployed AI agents fully unified their data beforehand and reached ROI in 7.3 months, according to Salesforce in 2026.[20]
  • 68% of organizations with an agentic-AI proof of concept measure success primarily by business impact, according to a 2025 executive survey.[21]
  • 75% of all surveyed enterprises report positive returns from internal agentic-AI programs in 2026.[22]
  • 89% of enterprises with clearly defined and actively measured KPIs report positive returns from customer-facing agentic-AI programs in 2026.[22]
  • 70% of all surveyed enterprises report positive returns from customer-facing agentic-AI programs in 2026.[22]

06 Statistics

Strategy & Growth

Commercialization expands while autonomy stays constrained: only 20 of 437 agentic-AI products charged per outcome or task as of October 2026.

Growth in the agentic ai industry

  • 41% of surveyed U.S. enterprises used agents for document analysis and summarization in late 2025.[2]
  • The global agentic-AI market was projected to grow from $19.33 billion in 2026 to $205.88 billion by 2033, a 40.2% CAGR.[23]
  • 47% of surveyed U.S. enterprises used agents for data management in late 2025.[2]
  • 39% of organizations reported experimenting with AI agents without yet scaling them in 2025.[24]
  • 72% of surveyed U.S. enterprises had AI agents deployed and operating autonomously in late 2025.[2]
  • 36% of surveyed U.S. enterprises used agents for report generation in late 2025.[2]

Differentiation in the agentic ai industry

  • 64% of organizations evaluated small language models or fine-tuned open-source models as alternatives to large proprietary models in 2025.[25]
  • Customer-service and sales agents represented the best-funded agentic-AI segment, with at least $9.9 billion disclosed across 86 products, as of October 2026.[26]
  • Only 20 of 437 agentic-AI products charged customers per outcome or task as of October 2026.[26]
  • 130 agentic-AI companies announced their latest funding round in the 12 months to October 2026.[26]
  • Agentic-AI companies had raised at least $40.1 billion in disclosed equity funding across 329 funded companies as of October 2026.[26]
  • Those 130 companies raised at least $16.8 billion in the 12 months to October 2026.[26]

Mergers and acquisitions in the agentic ai industry

  • 29 acquisitions of companies in the agentic-AI market map closed between November 2024 and October 2026.[26]
  • Meta acquired AI coding startup Conductor in November 2026 to strengthen its AI ecosystem for software developers.[27]
  • Salesforce acquired Convergence.ai to expand capabilities for AI agents handling complex human-like tasks in digital environments in 2025.[28]
  • ServiceNow acquired Moveworks’ front-end AI agents and enterprise-search capabilities to expand its agentic-AI platform in 2025.[28]
  • Almost 70% of AI and data software deals announced in the first half of 2025 were linked to agentic AI.[28]
  • IBM acquired Seek AI to support development of its watsonx AI Labs in New York in 2025.[28]

Strategic partnerships in the agentic ai industry

  • ServiceNow created a Workflow Data Network comprising partners that provide data platforms, applications and enterprise tools for its AI agents in 2025.[28]
  • 67% of organizations cited stronger executive sponsorship and vision as an effective AI-adoption accelerator in 2025, supporting partner-led transformation programs.[25]
  • 51% of organizations cited scalable data infrastructure and governance as an effective AI-adoption accelerator in 2025, an area commonly addressed through technology alliances.[25]
  • 62% of organizations balanced open-source and proprietary AI tools based on risk and scalability, increasing the importance of ecosystem alliances in 2025.[25]
  • Amdocs and Prodapt partnered with NVIDIA to develop telecom-focused AI agents using NVIDIA’s AI platform in 2025.[28]
  • 59% of organizations identified access to external partnerships as an effective way to accelerate AI adoption in 2025.[25]

07 Statistics

People & Workforce

Hiring and operating talent tracks implementation: 59,712 active job postings mentioning AI agents or agent-specific technologies appeared in November 2026.

Hiring in the agentic ai industry

  • OpenAI had 77 agentic-AI job openings in August 2026 among employers tracked by the Agentic AI Jobs Index.[29]
  • Palantir had 75 agentic-AI job openings in August 2026 among employers tracked by the Agentic AI Jobs Index.[29]
  • Databricks had 140 agentic-AI job openings in August 2026, the largest count among tracked employers.[29]
  • 59,712 active job postings mentioned AI agents or agent-specific technologies in November 2026.[30]
  • About one-quarter of surveyed talent leaders had deployed agentic AI across multistep hiring workflows at full scale in 2026.[31]

Employee retention in the agentic ai industry

  • 91% of organizations rated upskilling effective for employee retention in the Linux Foundation’s 2025 technology-talent survey.[32]
  • 94% of organizations identified technical-growth opportunities as important for retaining technical talent in 2026.[32]

Remote Work in the software and IT services sector (sector benchmark)

  • 10% of technology-services respondents worked under fully flexible arrangements in 2025, allowing employees substantial control over remote work.[33]
  • 84% of technology-services employers agreed in 2025 that the ability to work remotely is important for employee retention.[33]
  • 6% of global respondents worked fully remotely in 2025, defined as spending less than one day per week in the office.[33]
  • 48% of U.S. software and IT professionals surveyed worked remotely in 2026, compared with 21% in France.[34]
  • 34.8% of global software and IT services respondents worked remotely in 2026, according to the Stack Overflow Developer Survey.[34]

Hybrid Work in the software and IT services sector (sector benchmark)

  • 55% of technology-services respondents worked in a hybrid arrangement in 2025, the highest share among industries measured by Cisco.[33]
  • 61% of U.S. employees with remote-capable jobs preferred hybrid work in November 2025, compared with 33% preferring fully remote work.[35]
  • 56% of IT employees worked in hybrid arrangements in 2025, while 31% were fully remote and 13% attended the office daily.[36]
  • 47% of global respondents worked in hybrid arrangements in 2025, down from 63% in Cisco’s 2022 study.[33]
  • 52% of U.S. employees with remote-capable jobs worked in hybrid arrangements in May 2026, according to Gallup.[35]

Upskilling in the agentic ai industry

  • Upskilling existing staff was the leading strategy for addressing technology-talent needs in the Linux Foundation’s 2025 survey.[32]
  • 23.6% of employers invested in employee upskilling or reskilling in the 2026 iHire survey.[37]
  • 94% of organizations ranked technical-growth opportunities among the leading factors for retaining technical talent in 2026.[32]
  • 97% of organizations rated upskilling existing staff as an important strategy for addressing technology-talent needs in 2025.[32]

Employee Engagement in the software and IT services sector (sector benchmark)

  • 92% of employees ranked collaboration and community as very important aspects of office culture in Cisco’s 2025 global study.[33]
  • 22.2% of global software and IT respondents were happy with their current professional role in 2026, while 32.6% were unhappy.[34]
  • 37% of exclusively remote U.S. employees were engaged in May 2026, compared with 34% of hybrid employees and 29% of on-site employees with remote-capable jobs.[35]
  • 74% of respondents approved of fully flexible hybrid policies in 2025, the highest positive sentiment among the policy types Cisco measured.[33]
  • 54% of exclusively remote U.S. employees were thriving in May 2026, compared with 52% of hybrid employees and 49% of on-site employees with remote-capable jobs.[35]

Change Management in the software and IT services sector (sector benchmark)

  • 42% of SAP change-management respondents cited inability to scale change management to business needs as a challenge in 2025.[38]
  • 59% of SAP change-management respondents expected AI to automate manual processes in change management, according to the 2025 survey.[38]
  • 44% of SAP change-management respondents identified requirements gathering as a challenge in 2025.[38]
  • 48% of SAP change-management respondents faced pressure in 2025 to implement changes more quickly.[38]

08 Statistics

Customer & Sales

Customer-facing adoption grows faster than measurable impact: only 5% of organizations could quantify agentic AI impact on customer experience outcomes in 2026.

Customer experience in the agentic ai industry

  • 69% of organizations expected agentic AI to handle at least half of customer sales and transaction interactions within 18 months in 2026.[39]
  • 82% of CX leaders expected autonomous AI agents to orchestrate the customer experience within three years in 2026.[40]
  • 37% of customers said they would disengage after learning they were interacting with AI when they expected a person in 2026.[39]
  • 43% of customers said they would be willing to interact with a brand’s AI personal concierge or agent in 2026.[39]
  • 40% of CX organizations globally were already using agentic AI in 2026.[40]

Customer retention in the agentic ai industry

  • 85% of organizations lacked the orchestration needed to connect AI agents, human teams, data and workflows into a complete customer resolution in 2026.[41]
  • Only 5% of organizations could quantify agentic AI’s impact on business outcomes in customer experience in 2026.[41]
  • 53% of organizations expected agentic AI to handle at least half of customer-loyalty and rewards-program interactions within 18 months in 2026.[39]

Customer acquisition in the agentic ai industry

  • 200% was the year-over-year growth in agentic search as the first step in shopping journeys in 2026.[20]
  • 86% of commerce leaders said AI was raising customer expectations in 2026.[20]
  • 58% of organizations expected agentic AI to handle at least half of product or brand discovery and search interactions within 18 months in 2026.[39]
  • 61% of commerce leaders said meeting customer expectations was harder than ever in 2026.[20]
  • 28% of commerce organizations used agentic AI in 2026, while 44% planned adoption within six months.[20]

Customer loyalty in the agentic ai industry

  • 69% of consumers said they felt more confident in brands that clearly disclosed AI-agent interactions from the start in 2026.[39]
  • 61% of consumers could not name a brand that used AI well in marketing or customer experience in 2026.[4]
  • Three in five consumers said they would be more loyal to a brand offering a proactive AI experience that anticipates their needs in 2026.[39]

Lead generation in the agentic ai industry

  • 100 million sales leads had gone unanswered at Salesforce over 25 years before agentic follow-up was introduced in 2025.[20]
  • 55% of sales professionals used AI for prospecting in 2026, while another 38% planned to do so.[20]
  • 72% was the open rate for SaaStr’s Agentforce outreach emails in 2026.[20]
  • $3.5 million in pipeline was nurtured by Agentforce for SaaStr in 2026.[20]
  • 92% of sellers with AI agents said the technology benefited their prospecting efforts in 2026.[20]

09 Statistics

Marketing & Brand

Marketing adoption is measured by usage and deployment scale; 22% of organizations moved beyond pilots to organization-wide or cross-functional deployment for 2026.

Marketing in the agentic ai industry

  • 51.1% of marketing organizations used AI agents in 2026, up 155.5% year over year.[42]
  • 98.4% of marketing and advertising professionals used generative or agentic AI in 2026.[42]
  • 44% of organizations expected agentic AI to create marketing-campaign content within 18 months in 2026.[39]
  • 76% of marketers said their use of AI agents had increased during the six months before HubSpot’s 2026 survey.[43]
  • 52% of organizations expected agentic AI to assist marketing with campaign orchestration within 18 months in 2026.[39]

Digital marketing in the agentic ai industry

  • 42% of brands planned to design distinctive AI-agent personalities for different audiences in 2026.[39]
  • 63% of organizations believed agentic AI would free them to focus more on strategy and creative work in 2026.[39]
  • 22% of organizations had moved beyond pilots to organization-wide or cross-functional agentic AI deployment for marketing content creation and activation in 2026.[39]
  • 47% of organizations had no framework for tracking generative-AI return on investment and value in 2026.[39]

Branding in the agentic ai industry

  • 68% of organizations ranked clear disclosure of AI interactions among the most important factors for building trust in agentic AI in 2026.[39]
  • 54% of organizations expected agentic AI to act as a brand-facing digital representative in 2026.[39]
  • 42% of businesses expected AI agents to work directly with a brand’s AI agent in 2026.[39]

Influencer Marketing in the software and IT services sector (sector benchmark)

  • Across technology companies, 64% of marketers reported dedicated and growing budgets for creator or influencer marketing in 2026, according to Nielsen’s global marketing survey.[44]
  • Across technology companies, 27% of marketers reported dedicated but flat budgets for creator or influencer marketing in 2026, according to Nielsen’s global marketing survey.[44]
  • Across B2B companies, another 29% of marketing organizations planned to adopt influencer marketing within the next year in 2025, based on an Ipsos survey of 1,500 marketing leaders.[45]
  • Across B2B companies, 55% of marketing organizations were using influencers in 2025, based on an Ipsos survey of 1,500 marketing leaders.[45]
  • Across B2B companies, 58% of marketing teams reported using an always-on influencer marketing approach in the 2025 B2B Influencer Marketing Report.[46]

10 Statistics

Operations & Execution

Execution performance depends on checks and data readiness. 39% reported incorrect or low-quality output without automated checks or a monitoring threshold.

Process optimization in the agentic ai industry

  • 52% of companies expected agentic AI to automate or accelerate between 26% and 50% of their workloads.[47]
  • 44% of business leaders expected agentic AI to have a greater overall impact than generative AI.[47]
  • 26% to 31% cost reductions were reported for AI-enabled business operations, including procurement, customer service, supply chain and financial operations.[25]
  • 48% growth in production agentic-AI projects was expected during 2025, according to a survey of business executives.[25]
  • 21% of organizations used AI agents or multi-agent systems in 2025, more than double the 10% reported in 2024, according to a global business-operations survey.[25]

Operational efficiency in the agentic ai industry

  • USD 3.5 billion in productivity savings over two years was reported by IBM from applying AI across its operations.[10]
  • Almost 70% of surveyed COOs had adopted AI agents and were preparing to scale them across their enterprises.[10]
  • 95% of organizations using agentic AI’s full capabilities reported business growth from automation, according to a 2026 enterprise survey.[4]
  • 76% of COOs and chief supply-chain officers actively encouraged AI experimentation in their organizations.[10]
  • 83% of COOs and chief supply-chain officers expected AI agents to improve process efficiency, according to IBM’s 2025 study.[10]

Quality management in the agentic ai industry

  • 39% of surveyed organizations discovered incorrect or low-quality AI output without automated checks or a monitoring threshold.[48]
  • 52.4% of organizations ran offline evaluations on test sets to assess agent quality before deployment, according to LangChain’s 2025 survey.[49]
  • More than 40% of organizations cited data quality and readiness as the biggest obstacle to reaching production with agentic AI.[1]
  • 43% of organizations cited insufficient technical maturity as an obstacle to moving agentic-AI projects into production.[1]
  • 83.8% of practitioners said a published taxonomy covered faults they had encountered in agentic AI systems.[13]

Supply chain in the agentic ai industry

  • USD 3.5 billion in productivity savings over two years included supply-chain and other operational improvements achieved by IBM.[10]
  • 48% growth in production agentic-AI projects was expected during 2025, including projects in supply-chain and procurement workflows.[25]
  • USD 361 million in supply-chain savings over three years was reported by IBM from its Client Zero transformation.[10]
  • 21% of organizations used AI agents or multi-agent systems in 2025 for business operations including supply-chain management.[25]
  • 2,000-plus suppliers and operations in 170-plus countries were covered by IBM’s internal AI-enabled supply-chain transformation.[10]

Outsourcing / Offshoring in the software and IT services sector (sector benchmark)

  • Among German IT-service generalists, 10.2% of digital-experience services for customer projects were delivered offshore in 2024.[50]
  • Across EU enterprises sourcing business functions internationally during 2021–2023, 28.7% moved information and communication technology services abroad.[7]
  • Among German IT-service generalists, 19.5% of digital-experience services for customer projects were delivered nearshore in 2024.[50]
  • Across German digital-experience service providers, 13.2% of services for customer projects were delivered nearshore in 2024.[50]
  • Across German digital-experience service providers, 7.6% of services for customer projects were delivered offshore in 2024.[50]

11 Statistics

Finance & Pricing

Pricing preferences skew toward consumption: 55% of data and AI executives preferred consumption-based pricing for agentic-AI solutions.

Pricing strategy in the agentic ai industry

  • 55% of data and AI executives preferred consumption-based pricing for agentic-AI solutions.[51]
  • 37% of data and AI executives preferred license-based pricing for agentic-AI solutions.[51]
  • 43% of data and AI executives preferred platform-based pricing for agentic-AI solutions.[51]
  • 33% of data and AI executives preferred tier-based pricing for agentic-AI solutions.[51]
  • 17% of data and AI executives preferred outcome-based pricing for agentic-AI solutions.[51]

Cost reduction in the agentic ai industry

  • 28% to 39% potential cost savings were estimated for AI agents handling operational, planning and analytical corporate-affairs tasks.[27]
  • 21% to 30% potential cost savings were estimated for AI agents handling ESG and community-communications tasks.[27]
  • 22% to 31% potential cost savings were estimated for AI agents handling external and media communications tasks.[27]
  • More than fivefold growth in inference cost per agentic workflow was predicted through 2028 as reasoning-heavy workloads expand.[3]
  • 26% to 31% cost reductions were reported for AI-enabled business operations across procurement, customer service, supply chain and finance.[25]

Profitability in the agentic ai industry

  • 45% of organizations reported cost reductions from AI strategies in 2026.[4]
  • 1.7 times average ROI was reported for AI-powered business operations in Capgemini’s global executive survey.[25]
  • 60% of organizations reported improved decision-making and data insight from AI strategies in 2026.[4]
  • 86% of surveyed businesses planned to increase AI investment during the following financial year.[4]
  • Fewer than 10% of agentic-AI deployments were delivering robust return on investment, according to Gartner’s review of nearly 1,000 case studies.[3]

Financial planning in the agentic ai industry

  • 19% of AI functions were operating autonomously in financial planning and analysis, according to a 2026 survey of finance leaders.[52]
  • 82% of millennial and Generation Z generative-AI users had used AI for financial guidance in 2025.[53]
  • About 20% of Americans who sought financial advice in the previous year had turned to AI, according to a 2026 Gallup poll.[54]
  • More than 1,500 CFOs and senior finance leaders across the United States, United Kingdom, India and Australia were surveyed about agentic AI in finance.[52]
  • 66% of generative-AI users had used AI for financial guidance in a 2025 Intuit Credit Karma survey.[53]

12 Statistics

Product & Service

Agents are shifting from internal tooling to daily workflow management. 60% of organizations plan to use agentic AI in product or software development within 24 months.

Product development in the agentic ai industry

  • High-value automotive AI realizers report 17% faster product-development cycles in 2026.[25]
  • 29% of organizations expect AI agents to manage at least one product-design, R&D or support process daily within 12 months, globally, in 2025.[25]
  • 33% of organizations expect AI agents to manage at least one product-design, R&D or support process daily within one to three years, globally, in 2025.[25]
  • 17% of organizations currently use agentic AI in product or software development, while 60% plan to use it within 24 months, globally, in 2025.[55]
  • Only 25% of product and engineering leaders report meaningful or top AI acceleration in product development, based on a 2026 survey.[24]

Product lifecycle in the agentic ai industry

  • 18 times year-over-year growth was recorded in active agents among large enterprises in Microsoft 365 by 2026.[56]
  • 58% of organizations expect AI agents to manage at least one business process daily within three years, across functions, in 2025.[25]
  • 81% of leaders expect agents to be moderately or extensively integrated into their companies’ AI strategies within 12 to 18 months, globally, in 2025.[57]
  • 60% of organizations plan to use agentic AI in product or software development within 24 months, according to an IDC survey published in 2025.[55]
  • 46% of business leaders say their organizations use AI agents to fully automate workflows or business processes, including product-related work, globally, in 2025.[58]

After-sales in the agentic ai industry

  • 74% of surveyed companies reported shutting down or rolling back AI customer-communications agents because of governance failures in 2026.[1]
  • 68% of customer conversations were resolved without human intervention by Salesforce’s agent in a reported customer deployment in 2026.[20]
  • 31% of organizations expect AI agents to manage at least one customer-service or support process daily within one to three years, globally, in 2025.[25]
  • 87% of organizations expect AI agents to manage at least one customer-service or support process daily within three years, globally, in 2025.[25]
  • Nearly five million customer conversations were handled across seven languages and three portals by a Salesforce customer’s agent in 2026.[20]

Value proposition in the agentic ai industry

  • 74% of organizations report generative-AI return on investment in at least one use case, globally, in 2025.[9]
  • 56% of surveyed enterprises identify business growth as a leading source of generative-AI value, globally, in 2025.[9]
  • 63% of surveyed enterprises identify customer experience as a leading source of generative-AI value, globally, in 2025.[9]
  • 88% of agentic-AI early adopters report generative-AI return on investment in at least one use case, globally, in 2025.[9]
  • 70% of surveyed enterprises identify productivity as a leading source of generative-AI value, globally, in 2025.[9]

13 Statistics

Sustainability & Ethics

Ethics integration remains limited in governance workflows; 12% of organizations fully integrated privacy and data-protection principles into AI-agent governance in 2025.

Sustainability in the agentic ai industry

  • 10% of organizations had fully integrated sustainability as an ethical AI principle into decision-making, governance, and workflows in 2025.[25]
  • 29% of executives said their organization uses or plans to use agentic AI or AI agents for sustainability in 2025.[25]

Ethics in the agentic ai industry

  • 48% of organizations expressed concern about the ethical implications of deploying AI agents in 2025.[25]
  • 48% of organizations cited safety risks associated with AI agents in 2025.[25]
  • 12% of organizations had fully integrated privacy and data-protection principles into AI-agent governance in 2025.[25]
  • 19% of organizations had fully integrated clear accountability and controllability into AI-agent governance in 2025.[25]
  • 14% of organizations had fully integrated ethical AI principles into decision-making, governance, and workflows in 2025.[25]

15 Statistics

Globalization & Expansion

Regional adoption and market participation diverge. Europe reported 71% of organizations still exploring agentic-AI applications versus 49% in the Americas in 2025.

Globalization in the agentic ai industry

  • More than 143% year-over-year growth in business customers was recorded in Australia, Brazil, the Netherlands and France, among OpenAI’s largest markets, in 2025.[67]
  • 36% of organizations globally were piloting or using agentic AI in limited or extensive ways in 2025.[25]
  • 420 agentic-AI companies operate across 28 countries, with 437 products identified as of October 2026.[26]
  • Europe reported 71% of organizations still exploring agentic-AI applications, versus 49% in the Americas, in 2025.[25]
  • Americas organizations reported 29% piloting and 11% limited deployment of agentic AI in 2025.[25]

Cultural adaptation in the agentic ai industry

  • 71% of European organizations were exploring agentic-AI applications, compared with 57% in APAC, in 2025.[25]
  • 54% of organizations prioritized data sovereignty so sensitive or regulated data remains under their control when using external AI models or platforms in 2025.[25]
  • 62% of organizations balanced open-source and proprietary AI tools according to risk and scalability considerations in 2025.[25]
  • The United States, Germany and Japan were among the most active markets by business-customer message volume in 2025.[67]
  • 64% of organizations were investing in or evaluating small language models or fine-tuned open-source models as alternatives to large proprietary models in 2025.[25]

Supplier management in the agentic ai industry

  • 44% of organizations primarily bought commercial or off-the-shelf AI solutions in 2025.[25]
  • 62% of organizations balanced open-source and proprietary tools based on risk and scalability in 2025.[25]
  • 14% of organizations pivoted between build and buy depending on the use case in 2025.[25]
  • 31% of organizations primarily built AI capabilities in-house in 2025.[25]
  • 51% of organizations identified scalable data infrastructure and governance as an effective way to accelerate AI adoption in 2025.[25]

Stakeholder management in the agentic ai industry

  • 53% of organizations identified stronger governance frameworks as an effective way to accelerate AI adoption in 2025.[25]
  • 53% of organizations identified workforce upskilling and reskilling as an effective way to accelerate AI adoption in 2025.[25]
  • 67% of organizations identified stronger executive sponsorship and vision as an effective way to accelerate AI adoption in 2025.[25]
  • 53% of organizations identified regulatory clarity and ethical frameworks as an effective way to accelerate AI adoption in 2025.[25]
  • 50,000 AT&T employees had completed AI training by 2025, according to Capgemini’s company case study.[25]

Distribution channels in the agentic ai industry

  • 66 of 437 agentic-AI products charged per seat as of October 2026.[26]
  • 215 of 437 agentic-AI products published a monthly price as of October 2026.[26]
  • 117 of 437 agentic-AI products charged by usage or credits as of October 2026.[26]
  • The median lowest paid plan among agentic-AI products with published monthly pricing was $29 as of October 2026.[26]
  • 63% of organizations ranked sales and marketing as a leading AI investment priority for 2026.[25]

Key questions about the Agentic AI Industry

What is the current size of the agentic AI market, and what is the 2026 estimate?
The global agentic AI market was valued at $16.2 billion in 2025 and is estimated at $22.9 billion in 2026.
How fast is the agentic AI market expected to grow from 2026 onward?
The forecast projects growth to $224.5 billion by 2033, using a 38.6% CAGR from 2026 to 2033.
Which companies lead the agentic ai industry?
OpenAI leads Gitnux's 2026 agentic ai ranking with an Overall score of 9.4, with Agents SDK tooling for agents that use models, tools, and managed orchestration. Alphabet is the highest-ranked cloud and platform provider at 9.2, backed by Google Cloud monetization across infrastructure, platforms, and services.
What technology shift affects how enterprises evaluate agent performance?
Organizations increasingly rely on measurement and monitoring: 39% discovered incorrect or low-quality AI output without automated checks or a monitoring threshold.
How is the market structured by offering type and application use?
Solutions accounted for 60.7% of the market in 2025, while customer service was the largest application segment at 32.1%.
What governance gap constrains agent adoption in production?
Deloitte found only 5% of organizations said business processes were highly prepared for AI agents, and only 15% had scaled orchestrated cross-functional multi-agent adoption in 2026.
Reference

Cite This Report

This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.

APA
Helena Kowalczyk. (2026, February 13). Agentic AI Industry Statistics. Gitnux. https://gitnux.org/agentic-ai-industry-statistics
MLA
Helena Kowalczyk. "Agentic AI Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/agentic-ai-industry-statistics.
Chicago
Helena Kowalczyk. 2026. "Agentic AI Industry Statistics." Gitnux. https://gitnux.org/agentic-ai-industry-statistics.

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