AIM Research · specialised in data and AIIndependent · Analyst-led · Vendor-neutral

    PeMa Quadrant · 1st edition · Published November 28, 2025

    Global Agentic AI Solutions Market Size and Forecast - 2025-2030

    27 vendors evaluated on market penetration and technology maturity. 11 qualify as Leaders.

    27

    Vendors evaluated

    11

    Leaders

    First edition of this PeMa Quadrant. Next edition: RFI closes 16 Nov 2026 →

    11 Leaders · 8 Seasoned · 1 Growth · 7 Challengers

    Global Agentic AI Solutions Market Size and Forecast - 2025-2030  report cover

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    The PeMa Quadrant

    Where all 27 vendors landed

    Hover a dot for the vendor, click to open its passport.

    Technology maturity →
    SeasonedLeadersChallengersGrowth

    Market penetration →

    2025

    Positions from 2025 are read from the chart AIM published that year. Source →

    What the report finds

    5 shifts buyers should know

    01

    The global Agentic AI solutions market is expected to grow from USD 7.0 billion in 2025 to USD 67.5 billion by 2030, at a CAGR of 57.5%.

    Finding 1 of 5

    02

    BFSI and TMT sectors account for a significant share of the market, driven by use cases such as fraud detection and network optimization.

    03

    Life Sciences and Healthcare sectors are anticipated to expand significantly due to increased adoption of AI in drug discovery and clinical trial management.

    04

    The market faces challenges such as limited government frameworks, ethical uncertainties, and integration complexities.

    05

    North America leads the market with a 42% share, followed by Europe and Asia Pacific, which are also experiencing rapid growth.

    Vendors evaluated

    All 27 vendors, and how they moved

    VendorPlacementHeadquartersVendor passport
    Blend360Leaders—Passport →
    CentificLeaders—Passport →
    EY Global Delivery Services LLP Leaders—Passport →
    Fractal AnalyticsLeaders—Passport →
    FujitsuLeaders—Passport →
    LatentView AnalyticsLeaders—Passport →
    MathCoLeaders—Passport →
    StraiveLeaders—Passport →
    Tiger AnalyticsLeaders—Passport →
    USEReadyLeaders—Passport →
    WNS Global ServicesLeaders—Passport →
    AaysSeasoned—Passport →
    C5iSeasoned—Passport →
    DentsuSeasoned—Passport →
    EvalueserveSeasoned—Passport →
    InfoCeptsSeasoned—Passport →
    JK TechSeasoned—Passport →
    SG AnalyticsSeasoned——
    StratLyticsSeasoned—Passport →
    Indus Net TechnologiesGrowth—Passport →
    Akaike Technologies Challengers—Passport →
    ArtivaticChallengers——
    ChetuChallengers—Passport →
    Intelekt AIChallengers——
    Konverge AIChallengers—Passport →
    SenzcraftChallengers——
    Think360.aiChallengers—Passport →

    Showing 10 of 27 ·

    Abstract

    The Global Agentic AI Solutions Market is projected to experience significant growth from 2025 to 2030, transitioning from early-stage pilots to broader enterprise deployment.

    This expansion is driven by the increasing need for autonomous decision-making, enhanced risk management, and advanced process automation. Key sectors such as BFSI and TMT are leading the adoption, utilizing Agentic AI for fraud detection, credit scoring, and network optimization. The Life Sciences and Healthcare sectors are also expected to grow substantially, leveraging AI for drug discovery and clinical trial management. Manufacturing is integrating AI to enhance predictive maintenance and process efficiency, while the Retail sector is using it to improve customer interactions and inventory management. The market is anticipated to grow from USD 7.0 billion in 2025 to approximately USD 67.5 billion by 2030, with a CAGR of 57.5%. Despite challenges like regulatory uncertainties and integration complexities, the market is poised for growth due to advancements in AI infrastructure and domain-specific agent development.

    Methodology

    How vendors were scored

    The research was conducted by AIMResearch, utilizing data believed to be reliable from various sources.

    X axis

    Market penetration

    • Delivery scale
    • Financial health
    • Customer mindshare

    Y axis

    Technology maturity

    • Technical innovation
    • Value realisation
    • DataOps depth

    The research was conducted by AIMResearch, utilizing data believed to be reliable from various sources. The scope included an analysis of market size, growth drivers, restraints, and opportunities across different industries and regions. The evaluation approach involved examining industry-specific use cases, regional adoption rates, and technological advancements in AI infrastructure. The report also considered regulatory conditions and integration challenges affecting market growth.

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    Frequently asked questions

    The PeMa (Penetration and Maturity) Quadrant is AIM Research's 2x2 vendor evaluation framework. It measures each provider's market penetration (clients, deal sizes, geographic spread) and technology maturity (capabilities, platforms, partnerships), and places them as Leaders, Seasoned Vendors, Growth Vendors or Challengers.

    Any enterprise technology vendor active in the relevant market category can request to participate. AIM Research issues an open RFI for each study and invites qualifying vendors via the Research Calendar.

    Vendors are evaluated through a structured RFI process backed by primary research, including vendor briefings, customer references and product evaluations. They are scored across 40+ weighted criteria covering product capabilities, strategy and market impact, and the weighted scores are mapped to one of the four quadrant positions.

    The date of the next edition has not been announced yet. Upcoming studies and their RFI windows are listed on the AIM Research Calendar.

    The Agentic AI solutions market is projected to grow at a compound annual growth rate (CAGR) of 57.5% from 2025 to 2030, expanding from USD 7.0 billion to approximately USD 67.5 billion.

    The BFSI (Banking, Financial Services, and Insurance) and TMT (Technology, Media, and Telecommunications) sectors are leading the adoption, driven by applications in fraud detection, credit scoring, compliance automation, and network optimization.

    The main challenges include limited government frameworks, ethical and regulatory uncertainties, integration complexities, talent shortages, and data interoperability issues, which hinder the widespread adoption of Agentic AI solutions across industries.